Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA212047 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We detected fusion genes in 274 fresh surgical samples of gliomas using whole transcriptome sequencing. Using this approach we screened a panel of glioma samples and identified a number of activating novel fusion transcripts. Fusion detection in 274 glioma patients
2014-07-20 | E-GEOD-48865 | biostudies-arrayexpress
Project description:We detected fusion genes in 274 fresh surgical samples of gliomas using whole transcriptome sequencing. Using this approach we screened a panel of glioma samples and identified a number of activating novel fusion transcripts.
2014-07-20 | GSE48865 | GEO
Project description:We used whole genome microarray expression profiling as a discovery platform to identify high grade diffuse glioma associated differently expressed genes comparing with low grade diffuse glioma.
2021-03-01 | GSE106784 | GEO
Project description:Purpose: This study aimed to identify a novel biomarker or a target of treatment for colorectal cancer (CRC). Experimental Design: The expression profiles of cancer cells in 104 patients with CRC were examined using laser microdissection and oligonucleotide microarray analysis. Overexpression in CRC cells especially in patients with distant metastasis was a prerequisite to select candidate genes. The mRNA expression of candidate gene was investigated by quantitative reversetranscription polymerase chain reaction (RT-PCR) in 77 patients as a validation study. We analyzed the protein expression and localization of the candidate gene by immunohistochemical study, and investigated the relationship between the expression and the clinicopathological feature in 274 CRC patients. Results: We identified 6 genes as candidates related to distant metastasis in CRC patients by microarray analysis. Among these genes, Osteoprotegerin (OPG) is known to have an association with aggressiveness in several cancers through inhibiting apoptosis by neutralizing the function of tumor necrosis factor related apoptosis inducing ligand (TRAIL). The mRNA expression of OPG in cancer tissues was significantly higher in patients with distant metastasis than those without metastasis. The overexpression of OPG protein was significantly associated with worse overall survival and relapse free survival (RFS). Moreover, the overexpression of OPG protein was an independent risk factor for recurrence of CRC. Conclusion: The overexpression of OPG would be a predictive biomarker of recurrence and a target of the treatment for CRC.
2011-02-28 | GSE21510 | GEO
Project description:High throughput proteomics profiling provide an unprecedented opportunity for dissecting molecular mechanisms in cancer biology. Here we present deep profiling of whole proteome and phosphoproteome in two high-grade glioma mouse models driven by mutated receptor tyrosine kinase (RTK) oncogenes. Using multiplex isobaric labeling (10-plex TMT) coupled with extensive liquid chromatography and mass spectrometry, we analyzed ~ 12K genes and > 30K phosphosites by extensive mass spectrometry. Systematical reprogramming of the proteome and phosphoproteome were observed in HGG tumors compare to normal cortex.
2019-06-24 | PXD005360 | Pride
Project description:Purpose: This study aimed to identify a novel biomarker or a target of treatment for colorectal cancer (CRC). Experimental Design: The expression profiles of cancer cells in 104 patients with CRC were examined using laser microdissection and oligonucleotide microarray analysis. Overexpression in CRC cells especially in patients with distant metastasis was a prerequisite to select candidate genes. The mRNA expression of candidate gene was investigated by quantitative reversetranscription polymerase chain reaction (RT-PCR) in 77 patients as a validation study. We analyzed the protein expression and localization of the candidate gene by immunohistochemical study, and investigated the relationship between the expression and the clinicopathological feature in 274 CRC patients. Results: We identified 6 genes as candidates related to distant metastasis in CRC patients by microarray analysis. Among these genes, Osteoprotegerin (OPG) is known to have an association with aggressiveness in several cancers through inhibiting apoptosis by neutralizing the function of tumor necrosis factor related apoptosis inducing ligand (TRAIL). The mRNA expression of OPG in cancer tissues was significantly higher in patients with distant metastasis than those without metastasis. The overexpression of OPG protein was significantly associated with worse overall survival and relapse free survival (RFS). Moreover, the overexpression of OPG protein was an independent risk factor for recurrence of CRC. Conclusion: The overexpression of OPG would be a predictive biomarker of recurrence and a target of the treatment for CRC. Total of 148 microarray datasets obtained from LCM and homogenized tissues of colorectal cancer patients were normalized using robust multi-array average (RMA) method under R 2.6.2 statistical software with affy package from BioConductor. Normalization was separately performed for LCM dataset and homogenized tissue dataset. The normalized gene expression levels were presented as log2-transformed values by RMA.
2011-02-28 | E-GEOD-21510 | biostudies-arrayexpress
Project description:EGFRvA is a novel and widely-expressed EGFR isoform, whose upregulation is positively related to glioma grades. Intriguingly, it is the upregulation of EGFRvA but not EGFR that significantly correlates with a poor prognosis in glioma patients. Cancer cells expressing EGFRvA (relative to EGFR) display a higher invasive capacity and a lower sensitivity to EGFR tyrosine kinase inhibitors (TKIs). To investigate the significant differently expressed genes between U87MG EGFRvA cells and U87MG EGFR cellsM-oM-<M-^Lmicroarray experiments were conducted. Gene-expression profiling was performed on the CapitalBio 35k human Genome Array microchips (Beijing, China).
2012-09-30 | E-GEOD-41230 | biostudies-arrayexpress
Project description:We used microarrays to select the genes associated glioma patients survival. This study aimed to define genes associated with survival. Expression profiling was performed on 50 gliomas. A gene classifier was developed. Fifty glioma patients were selected for RNA extraction and hybridization on Affymetrix microarrays.
2016-01-08 | E-GEOD-43378 | biostudies-arrayexpress
Project description:The discovery of the oncometabolite 2-hydroxyglutarate in isocitrate dehydrogenase 1-mutated (IDH1-mutated) tumor entities affirmed the role of metabolism in cancer. However, large databases with tissue metabolites that are modulated by IDH1 mutation remain an area of development. Here, we present an unprecedented and valuable resource for tissue metabolites in diffuse glioma and their modulations by IDH1 mutation, histology, and tumor treatments in 101 tissue samples from 73 diffuse glioma patients (24 astrocytoma, 17 oligodendroglioma, 32 glioblastoma), investigated by NMR-based metabolomics and supported by RNA-Seq. We discovered comparison-specific metabolites and pathways modulated by IDH1 (IDH1 mutation status cohort) and tumor entity. The Longitudinal investigation cohort provides metabolic profiles of untreated and corresponding treated glioma samples at first progression. Most interestingly, univariate and multivariate cox regressions and Kaplan-Meier analyses revealed that tissue metabolites correlate with progression-free and overall survival. Thus, this study introduces potentially novel candidate prognostic and surrogate metabolite biomarkers for future prospective clinical studies, aiming at further refining patient stratification in diffuse glioma. Furthermore, our data will facilitate the generation of so-far-unanticipated hypotheses for experimental studies to advance our molecular understanding of glioma biology.
2022-09-07 | MTBLS3873 | MetaboLights